IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance

  • Sari, Kazim

This paper is aimed at providing a framework to help managers of a supply chain enterprise determine the appropriate operational and environmental conditions under which investing in radio frequency identification (RFID) technology is more beneficial. For this purpose, a four-echelon supply chain that is operated under different levels of collaboration is examined in a comprehensive simulation model. Results from the simulation model show that integrating RFID technology within a supply chain provides significantly greater benefits when the level of collaboration between the participants is more intensive. In addition, the results also show that these benefits are stronger when lead times are longer and/or when demand uncertainty in marketplace is lower.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(10)00302-4
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 207 (2010)
Issue (Month): 1 (November)
Pages: 174-183

as
in new window

Handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:174-183
Contact details of provider: Web page: http://www.elsevier.com/locate/eor

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Bayraktar, Erkan & Lenny Koh, S.C. & Gunasekaran, A. & Sari, Kazim & Tatoglu, Ekrem, 2008. "The role of forecasting on bullwhip effect for E-SCM applications," International Journal of Production Economics, Elsevier, vol. 113(1), pages 193-204, May.
  2. Rekik, Yacine & Sahin, Evren & Dallery, Yves, 2009. "Inventory inaccuracy in retail stores due to theft: An analysis of the benefits of RFID," International Journal of Production Economics, Elsevier, vol. 118(1), pages 189-198, March.
  3. Andrew J. Clark & Herbert Scarf, 2004. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 50(12_supple), pages 1782-1790, December.
  4. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
  5. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.
  6. Rekik, Yacine & Sahin, Evren & Dallery, Yves, 2008. "Analysis of the impact of the RFID technology on reducing product misplacement errors at retail stores," International Journal of Production Economics, Elsevier, vol. 112(1), pages 264-278, March.
  7. Disney, S. M. & Naim, M. M. & Potter, A., 2004. "Assessing the impact of e-business on supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 89(2), pages 109-118, May.
  8. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
  9. Szmerekovsky, Joseph G. & Zhang, Jiang, 2008. "Coordination and adoption of item-level RFID with vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 114(1), pages 388-398, July.
  10. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
  11. Du, Ding & Denning, Karen, 2005. "Industry momentum and common factors," Finance Research Letters, Elsevier, vol. 2(3), pages 107-124, September.
  12. Sven Axsäter & Kaj Rosling, 1993. "Notes: Installation vs. Echelon Stock Policies for Multilevel Inventory Control," Management Science, INFORMS, vol. 39(10), pages 1274-1280, October.
  13. ., 2005. "Challenges in the Natural Gas Industry," Chapters, in: Public Utilities, chapter 14 Edward Elgar Publishing.
  14. Wang, Shu-Jen & Liu, Shih-Fei & Wang, Wei-Ling, 2008. "The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry," International Journal of Production Economics, Elsevier, vol. 112(2), pages 570-586, April.
  15. Uçkun, Canan & Karaesmen, Fikri & Savas, Selçuk, 2008. "Investment in improved inventory accuracy in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 546-566, June.
  16. Ustundag, Alp & Tanyas, Mehmet, 2009. "The impacts of Radio Frequency Identification (RFID) technology on supply chain costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 29-38, January.
  17. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
  18. Srinagesh Gavirneni, 2002. "Information Flows in Capacitated Supply Chains with Fixed Ordering Costs," Management Science, INFORMS, vol. 48(5), pages 644-651, May.
  19. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
  20. Gunasekaran, A. & Ngai, E.W.T. & McGaughey, R.E., 2006. "Information technology and systems justification: A review for research and applications," European Journal of Operational Research, Elsevier, vol. 173(3), pages 957-983, September.
  21. Sheppard, George M. & Brown, Karen A., 1993. "Predicting inventory record-keeping errors with discriminant analysis: A field experiment," International Journal of Production Economics, Elsevier, vol. 32(1), pages 39-51, August.
  22. Zhou, Wei, 2009. "RFID and item-level information visibility," European Journal of Operational Research, Elsevier, vol. 198(1), pages 252-258, October.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:174-183. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.